4 citations · 7 across the 3 of their papers we have counts for
3 papers
cs.CV2026
Will It Zero-Shot?: Predicting Zero-Shot Classification Performance For Arbitrary Queries
Kevin Robbins, Xiaotong Liu, Yu Wu +4
Vision-Language Models like CLIP create aligned embedding spaces for text and images, making it possible for anyone to build a visual classifier by simply naming the classes they w…
cs.CV2020★ 4 cited
Hard negative examples are hard, but useful
Hong Xuan, Abby Stylianou, Xiaotong Liu +1
Triplet loss is an extremely common approach to distance metric learning. Representations of images from the same class are optimized to be mapped closer together in an embedding s…
cs.LG2019★ 3 cited
Visualizing How Embeddings Generalize
Xiaotong Liu, Hong Xuan, Zeyu Zhang +2
Deep metric learning is often used to learn an embedding function that captures the semantic differences within a dataset. A key factor in many problem domains is how this embeddin…